Fully adaptable interfacial sensors and reconstruction modeling for in situ heat transfer analysis of energy-saving materials

Adaptable interfacial sensor technologies are essential to the realization of optimized energy-saving designs through in situ monitoring the material's performance of heat transfer. Previously reported other non-invasive thermosensors can either only monitor part samplings off site or lack signal processing circuitry and sensor calibration mechanisms for accurate analysis of the thermophysical performance. Given the complexity of cutting and sampling, on-the-spot measurement and real-time reconstruction modeling of target materials are critical and requires full adaptability to ensure the accuracy of heat transfer analysis. Here we present a fully adaptable interfacial (that is, no cutting sampling is needed) sensor for in situ heat transfer analysis, which selectively and accurately measures the key parameter reflecting the heat transfer performance, i.e., thermal conductivity, as well as reconstruction modeling based on the thermal conductivity data. Our work bridges the technological gap between signal transduction, amplification and filtering, processing in interfacial thermosensors by merging inorganic/organic-based sensors that interface with the on-the-sport material with integrated circuits consolidated on a printed circuit board for complex signal processing. This adaptably movable system is used to measure the detailed porosity-dependent thermal conductivity profile of materials engaged in energy-related applications, and to make a real-time reconstruction of heat transfer process of the on-the-spot materials. This platform enables a wide range of thermophysical monitoring and reconstruction modeling applications.